Title :
Unifying past and recent developments in bounded ellipsoid processing
Author :
Deller, J.R., Jr. ; Nayeri, M.
Author_Institution :
Dept. of Electr. Eng., Michigan State Univ., East Lansing, MI, USA
Abstract :
A general class of optimal bounding ellipsoid (OBE) algorithms, including all methods published to date, is unified into a single framework called the unified OBE (UOBE) algorithm. Different instances of UOBE are distinguished by their weighting policies and the criteria for determining optimal weight values. Two new UOBE techniques are introduced within the UOBE framework
Keywords :
error analysis; identification; optimisation; signal processing; bounded ellipsoid processing; bounded error problem; unified optimal bounding ellipsoid algorithm; weighting policies; Adaptive signal processing; Ellipsoids; Laboratories; Least squares methods; Parameter estimation; Random sequences; Samarium; Signal processing algorithms; Speech processing; Stochastic processes;
Conference_Titel :
Circuits and Systems, 1993., ISCAS '93, 1993 IEEE International Symposium on
Conference_Location :
Chicago, IL
Print_ISBN :
0-7803-1281-3
DOI :
10.1109/ISCAS.1993.393838
